Progress at a glance
Developing the data dictionary
The main progress for last 6 months on this project is developing “CoDEC Data Dictionary”.
To enable data integration between different data management systems and the data flow to and from BIM and asset management system CoDEC has developed this “Data Dictionary”.
CoDEC "Data Dictionary" provides a logical hierarchical system of data written in plain language (English) that gives the “logical” flow of the data (and metadata) to build “Data Queries” between Database Systems (e.g. between Asset Management System (AMS) and BIM). This is essentially based on the well-defined structure of legacy data within AMS.
One of the main purposes of this Data Dictionary is to help both the Asset Managers and Software developers to translate the legacy data structures into a "Linked Data Environments" for successful data integration process. This Data Dictionary format is created in such a way that is adaptable by different Organisations and easily extendable in future to cater new data types.
The data dictionary focuses on three key asset types: Road, Bridge and Tunnel. The data dictionary was enriched with input from other sources such as IFC, ISO standards, EurOTL and some other existing data dictionaries or Object Type Library OTL’s.
The Data Dictionary will provide a list of data types on the key asset types and the connection to meta data or attributes for creating an Object Type Library (OTL) for the BIM platform.
The Data Dictionary has two main sections; 1. Static Data and 2. Dynamic Data.
Static Data is the information about the Assets; e.g. what is the asset, where is the asset, what is it made of, what are the components, when it was constructed etc. Dynamic Data is the information on the asset condition, operation and maintenance. This data is continuously changing, hence the structure of this Data is different from Static Data. Although it is essential that both are connected to each other. Dynamic Data is connected to Static Data by a "Unique ID". Dynamic Data gives the framework of any data that can be captured by either a "Fixed Sensor" or a "Mobile Sensor".